Titlebook: Scientific and Statistical Database Management; 22nd International C Michael Gertz,Bertram Ludäscher Conference proceedings 2010 Springer-V

CRUMB

Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Clusteritations in the availability of data have become the bottleneck to scientific discovery. MapReduce-style platforms hold the promise to address this growing data analysis problem, but it is not easy to express many scientific analyses in these new frameworks. In this paper, we study data analysis cha

单片眼镜

Database Design for High-Resolution LIDAR Topography Datang on the earth’s surface. However, the massive volumes of data produced by LIDAR technology pose significant technical challenges in terms of the management and web-based distribution of these datasets. This paper provides a case study in the use of relational database technology for serving large

痴呆

PetaScope: An Open-Source Implementation of the OGC WCS Geo Service Standards Suiteploy sophisticated search facilities, these are constrained to metadata level where conventional SQL/XML technology can be leveraged; no comparable retrieval support is available on original observation or simulation data..For raster data in the earth sciences, this is overcome by the 2008 Open GeoS

entrance

Towards Archaeo-informatics: Scientific Data Management for Archaeobiology key quests and issues in this research domain and derive a list of data management and data analysis tasks that requires original contributions from the Computer Science community and can initiate the birth of a new research discipline which we call Archaeo-Informatics. Furthermore, we describe a p

暂时别动

DESSIN: Mining Dense Subgraph Patterns in a Single Graphetworks is an urgent research problem with great practical applications. In this paper, we study the particular problem of finding frequently occurring dense subgraph patterns in a large connected graph. Due to the ambiguous nature of occurrences of a pattern in a graph, we devise a novel frequent p